Get Project EstimateBook a consultation

Use case

Move years of history without losing the audit trail

Data migration is where projects quietly overrun. The fix is to look at the real data early, not during cutover weekend.

Outcomes

  • Data quality known before commitment
  • Cleansing decisions made by the business
  • Validation evidence after each run
  • A cutover that has been rehearsed

Use case

Where it is used

Profiling

What is actually in the old system, not what people believe.

Cleansing

Rules agreed with the business, applied consistently.

Validation

Row counts, checksums and spot-check reports.

What we deliver

  • Source profiling
  • Mapping and transformation rules
  • Repeatable migration runs
  • Validation and reconciliation reports
  • Cutover rehearsal and rollback plan

Who this is for

  • Teams replacing a system where historic data must come along.
  • Projects where a previous migration attempt produced data nobody trusts.

Problems this solves

Source data is worse than assumed

Profiling the real export early turns migration from an unknown into a scoped task with a cleaning plan.

No agreed cut-over

A rehearsed cut-over with a freeze window, verification checklist and rollback removes go-live improvisation.

Nobody can prove the migration worked

Record counts, checksums and business-level checks — balances, open orders, stock — signed off before the old system is switched off.

How delivery runs

  1. 01

    Observe the current process

    We watch the work as it is actually done, including the workarounds, before proposing anything.

  2. 02

    Scope the first slice

    One workflow, one team, one measurable target — chosen because it carries the most manual effort.

  3. 03

    Build and pilot

    Working software in a pilot group within weeks, running alongside the current process until the numbers agree.

  4. 04

    Roll out and switch off

    Migration, training and a dated switch-off of the old route, so two processes do not run forever.

Realistic timeline

Week 1

Profiling the real export and agreeing scope of history.

Weeks 2–4

Mapping, cleaning rules and first rehearsal.

Weeks 5–6

Second rehearsal, verification checklist and cut-over.

What moves the price

Data quality

Cleaning and de-duplication is the dominant cost, not the transfer itself.

History depth

Migrating years of transactional history costs far more than opening balances; often only some of it is needed.

Number of rehearsals

Each full rehearsal costs time but removes the largest go-live risks.

Where projects go wrong

Migration verified only by record counts

Business-level reconciliation — balances, stock values, open orders — is required before sign-off.

No way back

A tested rollback and a retained read-only copy of the source system for a defined period.

FAQ

Questions buyers ask

Should we migrate everything?+

Usually not. Active records migrate; history is often better archived in a read-only view.

How long does it take?+

Profiling is days. The full cycle depends entirely on data quality, which is why we profile first.

You already have the idea. Let's define what comes next.

Available in 12 languages

data migration planning